Patents by Inventor Lorenzo Ibarria
Lorenzo Ibarria has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11963473Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.Type: GrantFiled: December 30, 2022Date of Patent: April 23, 2024Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
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Patent number: 11937524Abstract: A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.Type: GrantFiled: September 15, 2022Date of Patent: March 26, 2024Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
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Publication number: 20240074340Abstract: Various embodiments relate generally to computer vision and automation to autonomously survey an agricultural environment. In some examples, a system can receive sensor data of a geographic boundary from one or more sensors onboard of the agricultural observation system, detect a plurality of external dynamic objects, a plurality of external static objects, one or more agricultural objects, or a combination thereof from the sensor data, determine a position of a component of the agricultural observation system relative to the plurality of external dynamic objects, the plurality of external static objects, the one or more agricultural objects, or a combination thereof, and generate a local map, in real time, via one or more processing units.Type: ApplicationFiled: November 13, 2023Publication date: March 7, 2024Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
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Publication number: 20240057502Abstract: A method implemented by a treatment system disposed on a vehicle, the treatment system having one or more processors, a storage, and a treatment mechanism, includes capturing a first image of a region of an agricultural environment, detecting, by implementing a first machine learning (ML) algorithm on a first portion of the first image, a presence of at least a portion of a first object in the first image, determining whether the first object detected is a treatment candidate, determining, upon determining that the first object is a treatment candidate, a first three dimensional (3D) location of at least a portion of the first object in the agricultural environment, and applying, a treatment to at least the portion of the first object by activating the treatment mechanism to interact with the first object.Type: ApplicationFiled: October 16, 2023Publication date: February 22, 2024Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
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Patent number: 11909820Abstract: A computer implemented method of executing applications in a cloud server system is presented. The method comprises receiving a file identifier from a client device. The method also comprises receiving a file associated with the file identifier from a first server. Further, the method comprises accessing an application associated with the file from memory of the cloud server. Also, the method comprises executing by the cloud server the application using the file received from the first server. Finally, the method comprises streaming results from the executing the application as a video stream destined for the client device.Type: GrantFiled: August 2, 2021Date of Patent: February 20, 2024Assignee: NVIDIA CorporationInventors: Jen-Hsun Huang, Xun Wang, Lorenzo Ibarria
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Publication number: 20230413798Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may receive captured sensor data of an agricultural environment by one or more image capture devices, generate a first image from the captured sensor data, detect a first real-world agricultural object from the first image, determine a first pose of the first real-world agricultural object, identify the detected first real-world agricultural object as a new agricultural object or a preidentified agricultural object, and determine a treatment policy associated with the first real-world agricultural object.Type: ApplicationFiled: September 11, 2023Publication date: December 28, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Andre Robert Daniel Michelin, John Phillip Hurliman, II, Wisit Jirattigalochote, Hasan Tafish
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Publication number: 20230404056Abstract: A method includes traversing, by the treatment system, along a path in an agricultural environment, receiving, by the treatment system, one or more sensor readings comprising one or more agricultural objects, identifying one or more objects of interest from the one or more agricultural objects by analyzing the one or more sensor readings, determining a first target object of the one or more objects of interest for treatment, selecting a treatment policy to treat the first target object, and activating the treatment mechanism to treat the first target object with the treatment policy.Type: ApplicationFiled: August 31, 2023Publication date: December 21, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger
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Patent number: 11812681Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.Type: GrantFiled: July 18, 2022Date of Patent: November 14, 2023Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
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Publication number: 20230360392Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.Type: ApplicationFiled: July 3, 2023Publication date: November 9, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Andre Robert Daniel Michelin, John Phillip Hurliman, II, Wisit Jirattigalochote, Hasan Tafish
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Patent number: 11785873Abstract: A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.Type: GrantFiled: August 29, 2022Date of Patent: October 17, 2023Assignee: VERDANT ROBOTICS, INC.Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
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Patent number: 11751559Abstract: A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.Type: GrantFiled: December 5, 2022Date of Patent: September 12, 2023Assignee: VERDANT ROBOTICS, INC.Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger
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Patent number: 11751558Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.Type: GrantFiled: August 2, 2021Date of Patent: September 12, 2023Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Andre Robert Daniel Michelin, John Phillip Hurliman, II, Wisit Jirattigalochote, Hasan Tafish
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Publication number: 20230247928Abstract: A computer-implemented method includes performing, using a processor onboard a vehicle, a machine learning (ML) processing on sensor input from sensors onboard an agricultural vehicle, identifying, according to a rule, a subset of data resulting from the ML processing and generating and displaying, in real-time, the subset of data to a user interface, thereby enabling a user interaction with the subset of data.Type: ApplicationFiled: February 6, 2023Publication date: August 10, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
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Publication number: 20230252791Abstract: A computer-implemented method of sensor input processing, implemented by an agricultural platform comprising a processor and a sensor, includes capturing, using the sensor, sensor images of a vicinity of a target object of a time interval during which a treatment is applied to the target object; processing the sensor images using one or more machine learning (ML) algorithms wherein at least one ML algorithm uses an ML model trained to detect a presence of a treatment action in the vicinity of the target object; and providing, selectively based on a result of detecting the presence of the treatment action in the vicinity of the target object, an outcome of the processing for further processing.Type: ApplicationFiled: March 31, 2023Publication date: August 10, 2023Inventors: Dustin James Webb, Patrick Christopher Leger, Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner
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Publication number: 20230252789Abstract: A computer-implemented method of sensor input processing, implemented by an agricultural platform comprising a processor and a sensor, includes capturing, using the sensor, sensor images of a vicinity of a target object of a time interval during which a treatment is applied to the target object; processing the sensor images using one or more machine learning (ML) algorithms wherein at least one ML algorithm uses an ML model trained to detect a presence of a treatment action in the vicinity of the target object; and providing, selectively based on a result of detecting the presence of the treatment action in the vicinity of the target object, an outcome of the processing for further processing.Type: ApplicationFiled: February 6, 2023Publication date: August 10, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
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Patent number: 11694434Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.Type: GrantFiled: October 16, 2020Date of Patent: July 4, 2023Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Andre Robert Daniel Michelin, John Phillip Hurliman, II, Wisit Jirattigalochote, Hasan Tafish
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Patent number: 11653590Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.Type: GrantFiled: December 21, 2019Date of Patent: May 23, 2023Assignee: Verdant Robotics, Inc.Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
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Publication number: 20230141050Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.Type: ApplicationFiled: December 30, 2022Publication date: May 11, 2023Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
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Publication number: 20230122084Abstract: A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.Type: ApplicationFiled: December 16, 2022Publication date: April 20, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger
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Publication number: 20230118737Abstract: A method performed by a treatment system disposed on a moving platform, the treatment system having one or more processors, a storage and a treatment mechanism, comprising: receiving one or more images of an environment in which the moving platform is operating; identifying, in real-time, a pose of the moving platform using sensor inputs; identifying one or more target objects by processing the one or more images using a machine learning (ML) algorithm; and controlling the treatment mechanism to treat the one or more target objects by orienting the treatment mechanism towards the one or more target objects at least partially based on the pose.Type: ApplicationFiled: July 18, 2022Publication date: April 20, 2023Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger